/**
* Copyright 2014, Emory University
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package edu.emory.clir.clearnlp.component.mode.ner;
import java.io.ObjectInputStream;
import edu.emory.clir.clearnlp.classification.model.StringModel;
import edu.emory.clir.clearnlp.feature.common.CommonFeatureExtractor;
/**
* @since 3.0.3
* @author Jinho D. Choi ({@code jinho.choi@emory.edu})
*/
public class DefaultNERecognizer extends AbstractNERecognizer
{
/** Creates a named entity recognizer for collect. */
public DefaultNERecognizer(NERConfiguration configuration)
{
super(configuration);
}
/** Creates a named entity recognizer for train. */
public DefaultNERecognizer(CommonFeatureExtractor<NERState>[] extractors, Object lexicons)
{
super(extractors, lexicons);
}
/** Creates a named entity recognizer for bootstrap or evaluate. */
public DefaultNERecognizer(CommonFeatureExtractor<NERState>[] extractors, Object lexicons, StringModel[] models, boolean bootstrap)
{
super(extractors, lexicons, models, bootstrap);
}
/** Creates a named entity recognizer for decode. */
public DefaultNERecognizer(ObjectInputStream in)
{
super(in);
}
/** Creates a named entity recognizer for decode. */
public DefaultNERecognizer(byte[] models)
{
super(models);
}
}